Airbook automatically syncs, cleans and centralizes all your data scattered across HubSpot, Amplitude, GA4, Zendesk, Stripe, Postgres, Snowflake and more - You can then use Airbook AI to build powerful interactive reports and unified dashboards.

Here's a demo - https://youtu.be/hFp9J98p4_w

Our AI is schema-aware -It understands your fields, relationships, and can auto-build queries across sources with context. You can join sources like HubSpot + Salesforce + Snowflake for example. Every query it generates is editable, so you always stay in control. From there, you can prompt it build a dashboard for you or trigger workflows to push data into Customer IO, Clay, and more.

We built Airbook after years of leading data and ops at high-growth startups, where every question → insight → action flow involved bouncing between ETL scrips, CSV exports, warehouse queries, SQL Notebooks, BI tools, docs, decks and more. GTM, Ops, and Data teams were chasing the same answers, but each lived in totally different tools. We’ve now seen dev workflows evolve fast - Cursor, Claude, Copilot - but analytics still feels like it’s stuck.

Airbook is the common meeting point: one place to explore, present, and activate data, using interfaces you already know how to use - SQL, point‑and‑click, and now AI.

Three ways to work:

1. SQL IDE for technical folks 2. No-code builder for business users 3. AI assistant for both

Analytics and Ops teams use Airbook for deep dives, data exploration, quick answers, and cross-functional reporting. And because it’s collaborative, business teams can self-serve insights using the no-code builder too.

Teams also use Airbook to build segments by joining data from tools like Postgres, Amplitude, HubSpot and then trigger a workflow to push these segments to growth tools (Customer IO, Clay etc.) and launch campaigns instantly.

Here are some examples of what you can ask our AI:

Help me build a full funnel report from Traffic (GA4) → Leads (HubSpot) → Opportunities (SFDC) → Revenue (Stripe) with monthly conversion rates | Funnel Reporting

-> Traffic spiked in December, help me identify which sources caused this and whether it led to increased leads and opportunities | Exploration

-> Build a segment of enterprise trial signups who created at least 1 project, requested pricing info, and remain in the 'Qualification' stage in HubSpot | Segmentation

-> Create customer health scores by combining revenue, support interactions and product usage to identify potential churn risks | Scoring Models

We just launched a freemium plan - connect to a database and start using Air AI. You also get a 14-day free trial with full access. And with our MCP, you can build on Airbook or fetch insights straight from your favorite AI tool.

Signup here - https://app.airbook.io/signup

Your feedback shapes our roadmap so over to you now - what’s the first report or workflow you’d build with Air AI, how smooth (or bumpy) was the setup, and what could we do better? Share your honest thoughts - friction points, dream features, must‑have integrations - in the comments. We're super excited to hear from you!